Open AccessDesigning an Auto Cropping Application System for Fish Eye Image Using the Edge Detection Method
Author(s) -
Brian Sulu,
Jullia Titaley,
Luther Alexander Latumakulita,
Altien J. Rindengan
Publication year - 2019
Publication title -
d'cartesian: jurnal matematika dan aplikasi/d ' cartesian
Language(s) - English
Resource type - Journals
eISSN - 2685-1083
pISSN - 2302-4224
DOI - 10.35799/dc.8.2.2019.24255
Subject(s) - archipelagic state , computer vision , artificial intelligence , sobel operator , computer science , edge detection , enhanced data rates for gsm evolution , digital camera , digital image , fish <actinopterygii> , image processing , image (mathematics) , remote sensing , geography , computer graphics (images) , fishery , biology
Indonesia is one of the largest archipelagic countries in the world with the ocean area is larger than the mainland. This potential provides a great opportunity to do research in the maritime sector. The purpose of this research is to develop the application system that can automatically recognize and separate the fisheye images using the edge detection method. By using 20 fish digital images which taken by digital camera, the application system can recognize and separate the fisheye characteristic features with a good accuracy of 90%.